Interactive diagnostic system for insurance software: an expert system using artificial intelligence (esai)

Research output: Contribution to journalArticle

Abstract

The selection of an insurance software (IS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of IS predictor variables on overall satisfaction as determined by multiple regression. This study suggests that IS ease of operation, computer reliability, and trouble shooting are the major determinants of overall computer user satisfaction. The factors identified were used in the design of Diagnostic.

Original languageEnglish (US)
Pages (from-to)203-219
Number of pages17
JournalCybernetics and Systems
Volume18
Issue number3
DOIs
StatePublished - Jan 1 1987

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Insurance
Expert systems
Artificial intelligence
Computer operating procedures

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Control and Systems Engineering

Cite this

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abstract = "The selection of an insurance software (IS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of IS predictor variables on overall satisfaction as determined by multiple regression. This study suggests that IS ease of operation, computer reliability, and trouble shooting are the major determinants of overall computer user satisfaction. The factors identified were used in the design of Diagnostic.",
author = "Avi Rushinek and Sara Rushinek",
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